Job Description
Lead the design and implementation of AI, Physical AI, Robotics, Computer Vision, and Digital Twin solutions using the NVIDIA technology ecosystem. Drive innovation initiatives across manufacturing, industrial automation, and smart factory programs.
Key Responsibilities & Deliverables:
Architect and deploy solutions leveraging NVIDIA Omniverse, Isaac Sim, Metropolis, Jetson, CUDA, and AI Enterprise.
Lead the development of Physical AI, advanced robotics, and computer vision applications.
Design Digital Twin and simulation environments for industrial operations.
Integrate AI solutions seamlessly with enterprise and manufacturing systems (SAP, MES, IoT, SCADA).
Provide technical leadership, solution governance, and mentorship to engineering teams.
Support client engagements, Proof of Concepts (PoCs), pilots, and enterprise-scale deployments.
Required Qualifications & Experience
Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Engineering, or a related technical field.
Experience: Minimum of 8+ years of software engineering and solution architecture experience.
Core Technical Expertise: Hands-on experience with NVIDIA AI platforms, GPU-accelerated computing, AI/ML, Computer Vision, Python, C++, Docker, and Kubernetes.
Domain Context: Experience working in manufacturing, industrial automation, or Industry 4.0 environments is strongly preferred.
Custom Skill Requirements
Rank Skill Name / Category Specific Focus / Details
1 NVIDIA AI platforms and GPU-accelerated computing Omniverse, Isaac Sim, Metropolis, Jetson, CUDA, AI Enterprise
Rank 2 AI/ML, Computer Vision, Python, C++, Docker, and Kubernetes Core development stack, containerization, and orchestration
Rank 3 Software engineering / solution architecture experience Enterprise scale systems design, technical leadership, 8+ years
Candidate Pre-Screening / Qualifying Questions
Set these as knock-out/mandatory questions for applicant filtering:
1. Question 1: Do you have at least 8+ years of software engineering/solution architecture experience?
Mandatory Answer: Yes (Knock-out condition)
2. Question 2: Do you have a Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or a related field?
o Mandatory Answer: Yes (Knock-out condition)
